Great point, telemetry reliability is the biggest hurdle for any mission-critical system. We address the "garbage in, garbage out" risk by prioritizing freshness (our pipeline treats latency as a failure).

We use a

"leaky" buffer strategy (if data is too old to be actionable for a 3-minute forecast, we drop it to ensure the models aren't lagging behind the physical reality of the link),

graceful degradation (when telemetry is delayed or broken, the system automatically falls back to physics-only models i.e. orbital propagation and ITU standards), and

edge validation (we validate and normalize data at the ingestion point, if a stream becomes corrupted or "noisy," the system flags that specific sensor as unreliable and adjusts the prediction confidence scores in real-time).